A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Bio inspired distributed energy efficient clustering for Wireless Sensor Networks
Design and development of adaptive, scalable and energy-efficient routing protocols for Wireless Sensor Networks (WSNs) is an active area of research. Many protocols and techniques have been proposed and implemented for energy efficient routing. In this research work, we present Bio inspired Distributed Energy Efficient Clustering (B-DEEC) protocol for WSNs. It is based upon Artificial Bee Colony (ABC) algorithm which increases both lifetime and throughput of network. ABC algorithm that involves inspiration from foraging principle of honey bees, has been effectively utilized in our technique. Keeping multiple food sources, a characteristic of ABC, is incorporated to enhance network lifetime and reliability of our scheme. Waggle dance, for multiple interactions and information sharing, is utilized to optimize the Cluster Head (CH) selection. Simulation results justify our aforementioned arguments.
Bio inspired distributed energy efficient clustering for Wireless Sensor Networks
Design and development of adaptive, scalable and energy-efficient routing protocols for Wireless Sensor Networks (WSNs) is an active area of research. Many protocols and techniques have been proposed and implemented for energy efficient routing. In this research work, we present Bio inspired Distributed Energy Efficient Clustering (B-DEEC) protocol for WSNs. It is based upon Artificial Bee Colony (ABC) algorithm which increases both lifetime and throughput of network. ABC algorithm that involves inspiration from foraging principle of honey bees, has been effectively utilized in our technique. Keeping multiple food sources, a characteristic of ABC, is incorporated to enhance network lifetime and reliability of our scheme. Waggle dance, for multiple interactions and information sharing, is utilized to optimize the Cluster Head (CH) selection. Simulation results justify our aforementioned arguments.
Bio inspired distributed energy efficient clustering for Wireless Sensor Networks
Hasnat, M. A. (author) / Akbar, M. (author) / Iqbal, Z. (author) / Khan, Z. A. (author) / Qasim, U. (author) / Javaid, N. (author)
2015-02-01
166812 byte
Conference paper
Electronic Resource
English
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